Optimal sizing of a residential PV-battery backup for an intermittent primary energy source under realistic constraints

Khoury, Jawad; Mbayed, Rita; Salloum, Georges; Monmasson, Éric

doi:10.1016/j.enbuild.2015.07.045

Cited by 54 publications

(11 citation statements)

References 17 publications

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“…GA aids in minimization of energy consumption during an outage in a PV-battery backup system [64] and identification of optimal operation of PV-battery backup system [65]. GA has been used to solve optimally, the trade-off problem involving various constraints in the solar lease payments for large residential homes [66].…”

Section: Optimizationmentioning

confidence: 99%

Smart Review of the Application of Genetic Algorithm in Construction and Housing

Okagbue¹,

Peter²,

Akinola³

et al. 2020

IJATCSE

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Genetic algorithm (GA) is an example of evolutionary algorithms that are bio-inspired computational methods. GA has been applied to numerous fields. It has been applied in different aspects of construction and building but that is scarcely any review that documents it. The paper reviewed the application of GA in construction and building. It was revealed that energy management is the major area of application which are further subdivided into load scheduling, prediction, and optimization. Other nonenergy applications are pricing, environment, and construction design or real estate. The review presents research information to researchers. The information can assist in the optimization of construction processes which can reduce the construction time and costs, ensure optimal allocation and use of energy, prediction of energy demands and supply in houses and incorporation of sustainability in construction and management of real estate.

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Section: Optimizationmentioning

confidence: 99%

Smart Review of the Application of Genetic Algorithm in Construction and Housing

Okagbue¹,

Peter²,

Akinola³

et al. 2020

IJATCSE

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“…This leads to over-dimensioning of the involved equipment, from the side of the designer, to satisfy the demands of the consumers [8]. In such cases, the equipment underperforms and issues of system stability and increased expenditures arise [12]. Complex time-series and forecasting tools are used in order to minimize the randomness of the load and to better design DES [13].…”

Section: Introductionmentioning

confidence: 99%

Improved Structural Local Thermal Energy Planning Based on Prosumer Profile: Part B

Papatsounis

Botsaris

2022

Energies

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Distributed energy systems (DES) are currently at the forefront of the energy transition. Their placement brings production closer to the demand side of urban and sub-urban environments, making optimal design a necessity. However, the complexity of accurately addressing the energy demands via DES has received increasing research attention. This is mainly due to the impact they have on the energy transition’s socioeconomic aspect, as these systems are far from viable in most cases, especially when cutting-edge renewable technologies are involved. The current study aims to provide a practical and non-repetitive approach to DES design, explicitly referring to thermal distributed supply systems (TDESS). The authors present the last two of their three-layer Hierarchically Dependent Layering Methodology (HDLM) approach in designing a thermal local energy community (TLEC) from the ground up. The 2nd layer is the superstructure design of the TLEC, where a map approach is introduced and explores several combinations of the selected equipment, how they will interact to meet the heating and cooling loads and how they will form the superstructure. The 3rd is the economic assessment of the proposed scenario. The study results indicate relative ease of use of the model, as a non a priori approach is needed. Additionally, the proposed solution is economically viable as the respective performance indicators suggest.

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“…Their results highlight the importance of taking both system loads as well as grid blackouts into consideration. For residential buildings that are already connected to the grid network, and using a similar power and energy rating sizing approach as discussed above, Khoury et al [9] attempts to optimally size a PV/battery system with the battery as a back-up to the grid instead of diesel generators during power outages. Their key conclusion is that such systems are well-suited to, as well as a↵ordable for, their specific case study of Lebanon.…”

Section: Introductionmentioning

confidence: 99%

Techno-economic feasibility of grid-independent residential roof-top solar PV systems in Muscat, Oman

Al-Saqlawi

Madani

Dowell

2018

Energy Conversion and Management

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Oman is a country characterised by high solar availability, yet very little electricity is produced using solar energy. As the residential sector is the largest consumer of electricity in Oman, we develop a novel approach, using houses in Muscat as a case study, to assess the potential of implementing roof-top solar PV/battery technologies, that operate without recourse to the electricity grid. Such systems target the complete decarbonisation of electricity demand per household and are defined in this study as grid-independent systems. The approach adopted starts with a technical assessment of grid-independent systems that evaluates the characteristics of the solar panel and the battery facility required to provide grid-independence. This is then compared to a similar grid-connected system and any techno-economic targets necessary to enhance the feasibility of residential roof-top PV systems in Muscat are identified. Such an analysis was achieved through developing a detailed techno-economic mathematical model describing four subsystems ; the solar panel DC source, the grid-independent subsystem , the grid-connected subsystem and the economic subsystem. The model was implemented in gPROMS and uses real hourly weather and climate conditions matched with real demand data, over a simulated period of 20 years. The results indicate that, in the context of the system studied, grid-independent PV systems are not feasible. However, combined with a su ciently high electricity price, grid-independent systems can become economically feasible only with significant reductions in battery costs (>90% reductions).

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Optimal sizing of a residential PV-battery backup for an intermittent primary energy source under realistic constraints

Cited by 54 publications

References 17 publications

Smart Review of the Application of Genetic Algorithm in Construction and Housing

Smart Review of the Application of Genetic Algorithm in Construction and Housing

Improved Structural Local Thermal Energy Planning Based on Prosumer Profile: Part B

Techno-economic feasibility of grid-independent residential roof-top solar PV systems in Muscat, Oman

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